Early Diagnosis of Tomato Diseases Using Machine Learning to Reduce Pesticide Application
Integra Hydraulic, Konya, Türkiye.; Selçuk University, Faculty of Technology, Department of Mechatronic Engineering, Konya, Türkiye.

Published: March 30, 2026
This issue of the International Journal of Applied Methods in Electronics and Computers (Vol. 14, No. 1, 2026) presents current research on machine learning, deep learning, spatial analysis, and intelligent response systems. The featured articles cover early tomato disease diagnosis, LiDAR–photogrammetry fusion in urban scenes, orthopedic disease classification, explainable lung cancer analysis, and domain-specific fine-tuning of large language models for elevator emergency response systems.
Integra Hydraulic, Konya, Türkiye.; Selçuk University, Faculty of Technology, Department of Mechatronic Engineering, Konya, Türkiye.
Centre of Real Time Computer Systems, Faculty of Informatics, Kaunas University of Technology, LT-51386 Kaunas, Lithuania.; Matomai UAB, LT-51423 Kaunas, Lithuania
Bursa Technical University, Faculty of Engineering and Natural Sciences, Department of Computer Engineering, Bursa, Türkiye.
Department, of Computer Technologies, Afyon Vocational School, Afyon Kocatepe University, Afyonkarahisar, Türkiye.; Department of Computer Engineering, Afyon Kocatepe University, Afyonkarahisar, Türkiye.; Department of Computer Engineering, Faculty of Technology, Selcuk University, Konya, Türkiye.
Butkon Elevator Industry Trade Inc., Research and Development Center, Konya, Türkiye; Department of Artificial Intelligence and Machine Learning, Faculty of Computer and Information Sciences, Konya Technical University, Konya 42000, Türkiye; Department of Electrical-Electronic Engineering, Konya Technical University